A Predictive Morphometric Model for the Obstructive Sleep Apnea Syndrome

A predictive morphometric model is presented that has a high sensitivity, high specificity, and good intermeasurer and test-retest reliability that will enable clinicians to detect the possibility of OSAS during initial office visits and then decide which patients are at high risk (and urgently need polysomnography) and which are at low risk ( and do not need polynography).

Abstract

The morphometric model provides a rapid, accurate, and reproducible method for predicting whether patients in an ambulatory setting have OSAS. The model may be clinically useful as a screening tool for OSAS rather than as a replacement for polysomnography.